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README.md
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- split: train
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path: targets/train-*
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- split: train
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path: targets/train-*
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---
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# ChEMBL 36
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ChEMBL 36 converted to HuggingFace `datasets` format. Source data is from the [ChEMBL database](https://www.ebi.ac.uk/chembl/) (EMBL-EBI), a manually curated database of bioactive molecules with drug-like properties.
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## Dataset configs
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### `molecules`
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All compounds in ChEMBL with canonical SMILES representations.
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| Column | Type | Description |
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|---|---|---|
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| `chembl_id` | string | ChEMBL compound identifier |
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| `canonical_smiles` | string | Canonical SMILES representation |
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| `molecule_type` | string | Compound type (e.g. `Small molecule`) |
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### `targets`
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Protein targets with amino-acid sequences. Multi-component targets (protein complexes) produce one row per component.
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| Column | Type | Description |
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|---|---|---|
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| `target_chembl_id` | string | ChEMBL target identifier |
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| `pref_name` | string | Preferred target name |
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| `target_type` | string | Target type (e.g. `SINGLE PROTEIN`, `PROTEIN COMPLEX`) |
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| `organism` | string | Source organism (e.g. `Homo sapiens`) |
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| `tax_id` | int64 | NCBI taxonomy ID |
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| `accession` | string | UniProt accession |
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| `sequence` | string | Amino-acid sequence |
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### `molecule_target_pairs`
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Paired bioactivity records linking compounds to protein targets. Filtered to rows with non-null SMILES, sequence, and pChEMBL value.
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| Column | Type | Description |
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|---|---|---|
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| `chembl_id` | string | ChEMBL compound identifier |
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| `canonical_smiles` | string | Canonical SMILES representation |
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| `target_chembl_id` | string | ChEMBL target identifier |
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| `target_pref_name` | string | Preferred target name |
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| `organism` | string | Target organism |
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| `sequence` | string | Amino-acid sequence (`\|`-separated for multi-component targets) |
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| `standard_type` | string | Activity type (e.g. `IC50`, `Ki`, `Kd`) |
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| `standard_value` | float64 | Raw activity value |
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| `standard_units` | string | Units (e.g. `nM`) |
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| `standard_relation` | string | Measurement relation (`=`, `<`, `>`) |
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| `pchembl_value` | float64 | Standardized −log₁₀ activity value |
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| `assay_type` | string | Assay classification (e.g. `B` for binding) |
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## Usage
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```python
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from datasets import load_dataset
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molecules = load_dataset("lukaskim/chembl-36", "molecules")
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targets = load_dataset("lukaskim/chembl-36", "targets")
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pairs = load_dataset("lukaskim/chembl-36", "molecule_target_pairs")
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```
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## Source
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Built from the [ChEMBL 36 SQLite release](https://ftp.ebi.ac.uk/pub/databases/chembl/ChEMBLdb/releases/chembl_36/) using [chembl-hf](https://github.com/lukasmki/ChEMBL-HF).
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## License
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ChEMBL data is released under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). If you use this dataset, please cite the ChEMBL publication:
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> Zdrazil B, et al. (2024). The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity complementary data resources. *Nucleic Acids Research*, 52(D1), D1180–D1192. https://doi.org/10.1093/nar/gkad1004
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